Launched this week
Crossnode
Vibe code AI agents and put them behind a payment wall
731 followers
Vibe code AI agents and put them behind a payment wall
731 followers
Crossnode is the fastest way to turn AI agents into paid products. Just connect your workflow (upload from n8n or build using natural language), we handle logins, billing, usage caps, no backend or payment setup needed, all you have to do is put in the email of your clients and assign agents to them :)
love the origin story, happy launch day! quick one: when clients need to connect their own tools (Google, Slack, etc.), do they do that themselves inside the portal or do you still have to set it up on their behalf?
Crossnode
@jens_deryckere1 They do it themselves! That’s the beauty of it. Once you assign an agent to their portal, the system automatically detects which tools need their personal accounts. They just log into their branded portal, click a single "Connect" button (for Google, Slack, etc.), and they’re good to go. You never have to touch their credentials, and they never have to touch yours.
Crossnode
Hey everyone 👋 Islam here, CTO of Crossnode 🕺
Super excited (and a bit nervous tbh) to finally share this after being heads-down in the codebase for the past few months!
While building the core engine, one thing became clear: building an AI agent is easy but when you try to scale that agent across 20 different clients. Suddenly you're drowning in a mess of isolated API keys, empty executions, timeout errors, and trying to hack together a way to bill for usage without losing your margin…
So we built Crossnode to handle that entire infrastructure layer. The idea is simple: you build an agent once, and you can deploy it across infinite clients as a white-labeled SaaS.
To make this actually work reliably in production, we had to go deep. Under the hood:
We spin up persistent Daytona sandboxes so your agents have real state, memory, and secure file systems across runs.
We built a DAG execution engine that handles circuit-breaking for API limits.
Instead of just failing and alerting you, the engine actually tries to self-correct broken nodes.
And because we know nobody wants to rebuild from scratch... we built a 1-click Zapier & n8n importer so you can just drop your existing JSON workflows right into our infrastructure.
It’s still early and we’re shipping code every day, but we’re really happy to finally have people try it and give feedback.
If you’re building AI workflows or agents for clients, I’d genuinely love to hear: how are you managing state, sandboxing, and billing right now?
Please go break the importer, roast the architecture, and let me know what you think! 🙏
Crossnode
@thislam LFGGGGG🚀🚀🚀🚀
MacQuit
The "build once, deploy to many clients" problem is one I've been thinking about a lot. As a solo developer, the hardest part about offering services isn't building the automation itself, it's all the operational stuff around it: onboarding each client, managing their credentials separately, handling billing, and making sure one client's config doesn't break another's.
The white-label portal with built-in billing is a smart combo. Most tools in this space make you handle payments through a separate Stripe integration, which adds a lot of glue code.
Question: can clients bring their own API keys for the AI models, or does everything run through your infrastructure? For some clients, data sensitivity means they need their own accounts with the model provider.
The product interface is far too complex; it is unclear what is happening.
Crossnode
@river_ray I totally hear you. We've packed a lot of power under the hood to handle complex agency workflows, but I know that can definitely feel like a lot to take in at first glance. We're already working on simplifying the onboarding and adding more intuitive templates, so this feedback is actually super helpful for us. I'd love to hear more about which specific parts felt the most confusing if you're up for it!
Hey @rania_rimali @thislam , congrats on the launch today.
I ran crossnode.sh through a behavioral psychology framework we built for B2B conversion. Found 5 leaks worth fixing before your launch momentum dies.
Here's the biggest one:
Leak 1 — Hero headline is close but backwards
Your headline: "Launch your AI agency. Earn every month."
The outcome is right. The order is wrong.
Your buyer wakes up every morning thinking about one thing: recurring revenue. Not "launching an agency" — that's the method. "Earn every month" is the desire. Lead with the desire first.
Fixed: "Earn every month from the automations you already built."
This is Attentional Bias — mirror their obsession back at them before anything else. One change. Immediate lift.
I found 4 more leaks on the page. Same format, same depth — pricing section, trust architecture, your Sarah Chen testimonial being used wrong, and a missing ROI anchor before people hit your pricing.
@rania_rimali @thislam
Let’s gooo Rania and Islam!!! 🚀 you guys never disappoint
Love that you tackled one of the biggest barriers when switching tools, which is migration. Including n8n and Zapier is huge, because that’s usually what stops teams from even trying something new.
This really feels like a game changer for agencies that want to move away from selling hours and start operating more like a product, with something structured and repeatable instead of starting from scratch every time.
How are the API keys shared then??
Crossnode
@rania_rimali @amraniyasser That's actually one of the coolest parts! We use something called dynamic tool resolution so you never have to ask a client to 'hand over' their sensitive API keys. You build the agent exactly how you want it, and you get to decide which parts use your own infrastructure and which parts require the client to connect their own accounts (like their Slack or Gmail). When they log into their portal, they just see a simple 'Connect' button for the specific tools you've delegated to them. It keeps their credentials totally private and makes the handover feel like a seamless product experience.
Congrats for the launch! Really love to see this iead to become a real product, btw how does the platform handle high traffic spikes during network congestion to ensure stability for dapps?
Crossnode
@tuanan8_3 Definitely! We use a "burst-on-demand" setup (Cloud Run + Dramatiq) to handle those spikes.
Each run is isolated in its own sandbox, and every step in the graph has exponential backoff and circuit breakers. If an external network or RPC is congested, the agent just waits and retries intelligently instead of crashing the system. 🚀